.svg)
Running a Fund and SMAs Side by Side: Trade Allocation, Conflicts and Pari Passu Obligations
The managed account renaissance has a governance bill, and trade allocation is where it is paid. The moment a manager trades the same strategy for a commingled fund and one or more separately managed accounts, every order raises questions that did not previously exist: who was traded first, how were fills split, why did performance diverge, and who is checking. Allocators ask these questions in diligence because regulators ask them in examinations, and both know that allocation is where a manager's fairness is tested trade by trade, in data that cannot be argued with retrospectively. This article sets out the policy architecture: aggregation, allocation methods, sequencing, dispersion monitoring, and the evidence file that makes pari passu a demonstrable fact rather than a promise.
"Performance dispersion between a fund and an SMA in the same strategy is the most honest document a manager produces. Either you can explain every basis point of it from mandate differences, or you have an allocation problem you have not found yet."Evan Judd, Director at CV5 Capital
Why This Matters for Funds and Managers
The structural trend is settled: allocators want SMAs and funds of one, and managers who accept them, on the terms we analysed in SMAs vs commingled funds, multiply their trading books. With multiplication comes conflict, mechanical, not moral. Accounts differ in fees, in the manager's economic stake, in transparency and in the ease with which the client can measure slippage. An unwatched allocation process will drift, in fills, in timing, in IPO and block access, towards the account that shouts loudest or pays most, which is precisely why examiners treat allocation as a core conflicts topic and why enforcement history is full of cherry-picking cases built on trade data.
Allocators underwrite this directly. ODD teams request the allocation policy, test it against trade records and dispersion statistics, and interview the people who operate it, standard practice within the framework we describe in fund governance and ODD readiness, and a recurring section of the AIMA DDQ. A fund investor is equally alert: they want assurance that the SMA sitting beside their fund, often larger, cheaper and owned by a more powerful client, is not eating their fills.
The Common Misunderstanding
Managers assume good faith is the control: we trade everything together, so everyone is treated fairly. Intention is not the standard, demonstrability is. "We trade pari passu" is an empirical claim about thousands of orders, and it is either supported by aggregation records, allocation logs and dispersion analysis, or it is a slogan. The second misunderstanding is that pari passu means identical: it does not, and pretending otherwise creates its own failures. Accounts legitimately diverge through mandate restrictions, leverage differences, tax constraints, cash flows and timing of client instructions; the obligation is fair treatment and honest disclosure of systematic differences, not enforced sameness. A policy that acknowledges legitimate divergence, and explains observed dispersion from it, is stronger than one that promises identity it cannot deliver.
The Practical Reality: The Policy Architecture
| Component | What good looks like | Common failure |
|---|---|---|
| Aggregation | Orders in the same instrument for eligible accounts aggregated by default; average pricing across the block | Ad hoc aggregation at the trader's discretion, unrecorded |
| Allocation method | Pre-trade allocation statement; pro rata by target size on partial fills, with a documented minimum-lot rounding rule | Post-fill allocation decided after the price is known |
| Sequencing (non-aggregatable) | Defined rotation or randomisation where venues/brokers force sequential execution | The fund, or the biggest client, always trades first |
| Limited opportunities | IPOs, blocks and capacity-constrained trades allocated per written criteria | Scarce alpha steered to favoured or fee-rich accounts |
| Exceptions | Permitted deviations defined; each instance approved and logged with rationale | Exceptions frequent, undocumented, invisible |
| Monitoring | Periodic dispersion analysis across accounts; outliers investigated and minuted; compliance owns it | No one measures dispersion until an investor does |
CV5 Insight: The pre-trade allocation statement is the whole game; fairness decided before the fill is policy, fairness decided after the fill is discretion, and discretion is what examiners test.
Dispersion, Disclosure and the Evidence File
Dispersion analysis is the control that closes the loop. On a defined cadence, monthly for active books, compliance compares returns, hit rates and execution prices across accounts running the same strategy, attributes differences to known causes, mandate constraints, flows, leverage, and investigates what remains. The output is a short, dated memo: what diverged, why, and what was done. Alongside it sits the evidence file an examiner or ODD team will request: the policy itself, aggregation and allocation records reconciled by the administrator, the exception log, and minutes showing the fund's directors or governance forum reviewed the monitoring output, the same evidentiary discipline that runs through a credible expense allocation policy.
Disclosure completes the architecture. Offering documents and Form ADV (for US-registered advisers) should describe the side-by-side management honestly, including the manager's conflicting incentives where SMA fees differ from fund fees, and side letters granting execution-adjacent rights, transparency into positions, capacity protections, need checking against what other investors have been told, per the mechanics in side letters in hedge funds. Co-investment programmes layer the same questions at deal level, which is why their allocation logic, covered in co-investment vehicles, should be drafted as an extension of this policy rather than a separate improvisation.
Key Considerations
The allocation policy checklist
- Write it before the second account: Aggregation default, allocation method, rounding rules, sequencing and limited-opportunity criteria, in one document.
- Pre-trade allocation, always: Target allocations recorded before execution; partial fills pro rata against those targets.
- Define legitimate divergence: Mandate, leverage, tax and flow differences named, so dispersion has an explanation framework.
- Log exceptions, review them: Every deviation approved, recorded and summarised to the governance forum quarterly.
- Measure dispersion on a cadence: Returns and execution quality compared across accounts; outliers investigated in writing.
- Reconcile independently: Administrator-level confirmation that allocations booked match allocations stated.
- Disclose the conflict: Side-by-side management and differential economics described plainly in offering documents, the DDQ, and regulatory filings where applicable.
How the CV5 Platform Model Helps
Side-by-Side Management With Real Oversight
CV5 Capital is a Cayman Islands-based, CIMA-registered fund platform built for managers running funds, funds of one and managed-account-style vehicles together:
- One governance perimeter: Flagship and dedicated vehicles as segregated portfolios under consistent policies, directors and administration, so pari passu is examinable in one place.
- Independent reconciliation: Administrator workflows that evidence allocations as booked, not as remembered.
- Governance cadence: Reporting into a functioning oversight forum, giving dispersion monitoring somewhere to be reviewed and minuted.
- Cleaner structural answers: Where an SMA request can be met with a fund of one, the allocation problem shrinks to vehicles inside one governed framework.
CV5 provides governance, compliance and operating infrastructure as platform manager; it does not make investment or trading decisions for third-party strategies and is not a law firm, administrator, auditor or investment adviser. Managers retain investment discretion and responsibility for their allocation practices. The model is described at fund manager formation.
Risks and Caveats
Allocation requirements vary with the manager's registrations: US-registered advisers operate under specific fiduciary and disclosure expectations, and other regimes impose their own best execution and fairness standards, so the policy should be built with counsel against the manager's actual regulatory perimeter. Methods described here are common practice, not the only defensible designs; strategy mechanics (derivatives, IPO eligibility rules, capacity constraints) legitimately shape the details. What does not vary is the evidentiary standard: as at mid-2026, both examiners and allocators expect allocation fairness to be provable from records, and a manager whose only answer is intention should assume the question will be asked again, with data.
Key Takeaways
- Running funds and SMAs side by side converts allocation from a back-office detail into the manager's most examinable fairness claim.
- Pre-trade allocation statements, default aggregation and pro rata partial fills are the core mechanics; discretion after the fill is the core failure.
- Pari passu does not mean identical: define legitimate divergence, then explain observed dispersion from it, in writing, on a cadence.
- Keep the evidence file, policy, logs, reconciliations, dispersion memos, minutes, because ODD and examiners test records, not intentions.
- Structural choices shrink the problem: dedicated vehicles inside one governed platform are easier to run fairly than scattered accounts.
Adding Managed Accounts Beside Your Fund?
CV5 Capital houses flagship and dedicated vehicles in one regulated Cayman framework, with the administration and governance cadence that make allocation fairness demonstrable.
Contact CV5 Capital to discuss whether a platform fund structure is suitable for your strategy.
Schedule a ConsultationFrequently Asked Questions
What is a trade allocation policy?
A written framework governing how orders and fills are distributed across the accounts a manager trades, funds, SMAs and dedicated vehicles: when orders are aggregated, how partial fills are split, how sequencing works when aggregation is impossible, how scarce opportunities such as IPOs are allocated, and how exceptions are approved, recorded and reviewed.
What does pari passu mean for a hedge fund and its SMAs?
That accounts running the same strategy are treated fairly and proportionately, aggregated orders, average pricing and pro rata fills, not that their results will be identical. Mandate restrictions, leverage, tax constraints and client cash flows produce legitimate divergence; the manager's obligation is a fair process, disclosure of systematic differences, and the ability to explain observed dispersion from documented causes.
How do regulators detect unfair trade allocation?
Through data: examination teams compare execution prices, timing and performance across accounts, looking for patterns in which favoured accounts, typically those paying higher fees or holding the manager's own capital, systematically receive better fills or winning trades. Because the analysis is statistical, contemporaneous pre-trade allocation records are the manager's principal defence; reconstructed rationales carry little weight.
How often should managers review allocation dispersion?
Common practice is monthly or quarterly depending on trading activity: compliance compares returns and execution quality across same-strategy accounts, attributes differences to known causes, investigates residuals and records the outcome, with a summary to the fund's directors or governance forum. The cadence matters less than the consistency, a dispersion review that exists only in the compliance manual fails the first document request.
.svg)
.svg)
.svg)
.svg)
.svg)
